GenAI Architect – Testing & Automation

GenAI Architect with a Testing & Automation background

Key Responsibilities:

• Architect and integrate

  GenAI/AI solutions into existing testing, automation, and V&V service offerings.

• Re-design internal and customer systems

  to incorporate GenAI for enhanced automation and efficiency.

• Develop AI-powered test solutions

  in collaboration with cross-functional teams and customers.

• Drive the adoption of GenAI technologies

  for test automation across the organization.

• Assess and recommend

  AI-driven automation strategies to clients based on their existing testing frameworks.

• Identify and define

  high-value

  use cases

  where AI-powered automation can improve efficiency.

• Collaborate with clients and partners

  to align test automation solutions with business and market needs.

Technical Skills & Expertise:

AI & GenAI Expertise:

• Extensive experience in

  AI/ML architecture and implementations

  for

  Test Automation, Accelerators, and V&V projects

  .
• Strong knowledge of

  GenAI models

  and their applications in

  automated testing

  .

Test Automation & Tools:

• Test Automation Architecture & Development

  expertise for

  Web, Mobile, Cloud, API, and Embedded systems

  .
• Hands-on experience with

  automation frameworks

  such as:
• Selenium
• Appium
• Cucumber
• TestNG
• Custom-built automation accelerators
• Experience in

  manual testing methodologies

  , including:

• Test Development Life Cycle (TDLC)

• Various

  testing types

  (Functional, Regression, Performance, Security, etc.)
• Creating

  test approaches/plans

Consulting & Leadership:

• Lead

  QA assessment teams

  to evaluate customers testing processes and provide

  strategic recommendations

  for GenAI adoption.
• Identify

  opportunities for AI-based testing solutions, accelerators, platforms, and tools

  .
• Work closely with

  product teams and clients

  to define feature requirements and ensure alignment with market needs.

Required Skills & Qualifications:

• 15+ years of experience

  in software testing, automation, and AI/ML-powered test solutions.
• Strong

  understanding of AI/ML-driven automation frameworks

  .

• Proven experience in integrating AI-powered automation

  into enterprise testing environments.
• Strong

  problem-solving and analytical skills

  with a focus on innovation.
• Excellent

  communication and stakeholder management skills

  to collaborate with cross-functional teams and clients.

Preferred Skills (Good to Have):

• Experience in

  GenAI-based predictive analytics for testing

  .
• Expertise in

  QA tools

  such as JIRA, TestRail, or Zephyr.
• Knowledge of

  DevOps and CI/CD pipelines

  .
• Exposure to

  ITAM, CSM, GRC, and LSD

  .